Guosen Securities reaffirms confidence in Alibaba's pivot to AI and instant retail, seeing a clear path to long-term profitability despite current pressures.
Guosen Securities reaffirms confidence in Alibaba's pivot to AI and instant retail, seeing a clear path to long-term profitability despite current pressures.

Guosen Securities has maintained its "Outperform" rating for Alibaba-SW (09988.HK), signaling confidence in the tech giant's strategic pivot to artificial intelligence and instant retail which has already yielded a 40% year-over-year surge in external cloud revenue.
"The company's FY26Q4 profit has bottomed out... [its] strategic investment focus is shifting to AI and instant retail," the Guosen Securities report published May 18 said. The firm pointed to accelerating AI commercialization and improving unit economics in its retail segment as key drivers for future growth.
The report highlighted Alibaba's Model-as-a-Service (MaaS) as a potent new growth engine, with annual recurring revenue (ARR) already surpassing 8 billion RMB. This progress in monetizing its AI capabilities, alongside a 40% growth in its external cloud business, underscores a successful transition toward higher-value enterprise services.
While acknowledging that heavy investment will pressure profits in the short term, Guosen views the current valuation as reasonable, citing a forward price-to-earnings ratio of 27 for fiscal year 2027. The analysis suggests that Alibaba's focused strategy is laying the groundwork for a clear path to sustained profitability.
Alibaba's strategic refinement reflects a broader recalibration across China's technology sector. The "spray-and-pray" playbook of the mobile internet era—launching dozens of apps in hopes of a breakout hit—is proving ineffective in the AI age due to punishing inference costs that scale with usage. As noted in a recent internal ByteDance update, which saw 30% of its AI projects cut, the old logic of indiscriminately scaling users no longer works when every query incurs real cost.
Unlike social platforms where marginal costs approach zero, AI applications centralize the computational burden on the provider, causing losses to deepen with growth. This dynamic explains the industry-wide shift from chasing mass-market daily active users to developing "precision AI" systems embedded in specific, high-value enterprise workflows.
The emerging consensus is that defensibility in AI comes not from user volume, but from proprietary data, deep workflow integration, and control over distribution. Alibaba's focus on its MaaS platform and cloud services targets this new reality, aiming to build a defensible moat around enterprise clients with high willingness to pay and strong retention.
This strategy stands in contrast to the struggles of consumer-facing AI chatbots, where user switching costs are near zero. By embedding its AI into the core operations of other businesses, Alibaba is building a stickier, more sustainable revenue model. The 8 billion RMB in MaaS ARR is an early but significant indicator that this strategy is gaining traction, positioning Alibaba alongside other major players like Tencent and Baidu who are also consolidating their AI efforts around production-grade, enterprise-focused solutions.
This article is for informational purposes only and does not constitute investment advice.